{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Stokes Cavity with an Ostwald fluid"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook the Stokes cavity example is re-worked to incorporate a time independent non-Newtonian fluid model.\n",
    "\n",
    "For the Stokes cavity equation with a Newtonian fluid we used the following governing equations:\n",
    "\n",
    "$$\\begin{equation}\n",
    "\\nabla\\cdot(\\mu\\nabla\\mathbf{u})=\\nabla p\\tag{1}\\label{eq:StokesCav}\n",
    "\\end{equation}$$\n",
    "\n",
    "And the continuity equation for incompressible fluid \n",
    "\n",
    "$$\\begin{equation}\\tag{2}\\label{eq:Conteq}\n",
    "\\nabla\\cdot\\mathbf{u}=0\n",
    "\\end{equation}$$\n",
    "\n",
    "where $\\mathbf{u}$ is the fluid velocity field, $\\mu$ is the dynamic viscosity and $p$ is the pressure field.\n",
    "\n",
    "In this example we will adapt the solution used to incorporate a time-independent non-Newtonian fluid. Thus, the governing equation associated with momentum diffusion will have to be re-written as follows:\n",
    "\n",
    "$$\\begin{equation}\\tag{3}\\label{eq:StokesCav-PL}\n",
    "\\nabla\\cdot\\tau=\\nabla p\n",
    "\\end{equation}$$\n",
    "\n",
    "where $\\tau$ is\n",
    "\n",
    "$$\\begin{equation}\\tag{4}\\label{eq:Stress-Tensor}\n",
    "\\tau=\\mu(\\dot\\gamma)\\dot\\gamma\n",
    "\\end{equation}$$\n",
    "\n",
    "For the apparent viscosity $\\mu(\\dot\\gamma)$ we will incorporate an Ostwald fluid model and therefore it is expressed as:\n",
    "\n",
    "$$\\begin{equation}\\tag{5}\\label{eq:Stress-PL}\n",
    "\\mu(\\dot\\gamma)=C|\\dot\\gamma|^{m-1}\n",
    "\\end{equation}$$\n",
    "\n",
    "Thus resulting in the final model below\n",
    "\n",
    "$$\\begin{equation}\\tag{6}\\label{eq:StokesCav-PL-1}\n",
    "\\nabla\\cdot(C\\dot|\\dot\\gamma|^{m-1}\\dot\\gamma)=\\nabla p\n",
    "\\end{equation}$$\n",
    "\n",
    "where $C$ and $m$ are two material constants. $C$ is typically related to the diffusion of momentum and $m$ is associated with the fluid behavior. In this form we assume a generalized Newtonian fluid model. For a 2-D flow, $\\dot\\gamma$ can be written as:\n",
    "\n",
    "$$\\begin{equation}\\tag{7}\\label{eq:gamma-2D}\n",
    "\\dot\\gamma=\\left[ \\begin{array}{c c}\n",
    "2\\frac{\\partial u}{\\partial x} & \\left(\\frac{\\partial u}{\\partial y}+\\frac{\\partial v}{\\partial x} \\right)\\\\\n",
    "\\left(\\frac{\\partial u}{\\partial y}+\\frac{\\partial v}{\\partial x} \\right) & 2\\frac{\\partial v}{\\partial y}\n",
    "\\end{array}\\right]\n",
    "\\end{equation}$$\n",
    "\n",
    "Or in a compact form\n",
    "\n",
    "$$\n",
    "\\dot\\gamma=\\frac{1}{2}(\\nabla \\mathbf{u}+\\nabla \\mathbf{u}^T)\n",
    "$$\n",
    "\n",
    "We can then re-write $\\eqref{eq:StokesCav-PL-1}$ as\n",
    "\n",
    "$$\n",
    "\\begin{equation}\\tag{8}\\label{eq:StokesCav-PL-2}\n",
    "\\nabla\\cdot\\left(\\frac{C}{2}\\dot|\\dot\\gamma|^{m-1}\\nabla \\mathbf{u}\\right)+\\nabla\\cdot\\left(\\frac{C}{2}\\dot|\\dot\\gamma|^{m-1}\\nabla \\mathbf{u}^T\\right)=\\nabla p\n",
    "\\end{equation}\n",
    "$$\n",
    "\n",
    "We shall work on Eq. $\\eqref{eq:StokesCav-PL-2}$ in order to obtain a better visualization of the equations to take place in the algorithm. In this case we re-write it using index notation, resulting in\n",
    "\n",
    "$$\n",
    "\\begin{equation}\\tag{9}\\label{eq:StokesCav-PL-3}\n",
    "\\frac{\\partial }{\\partial x_i}\\left(\\frac{C}{2}|\\dot\\gamma|^{m-1}\\frac{\\partial u_k}{\\partial x_i}\\right)\\mathbf{e}_k+\n",
    "\\frac{\\partial }{\\partial x_i}\\left(\\frac{C}{2}|\\dot\\gamma|^{m-1}\\frac{\\partial u_i}{\\partial x_k}\\right)\\mathbf{e}_k=\n",
    "\\frac{\\partial p}{\\partial x_k}\\mathbf{e}_k\n",
    "\\end{equation}\n",
    "$$\n",
    "\n",
    "Note that, in this case, we have 2 equations for the 2 directions and 2 velocity variables which are in both equations. Therefore we will use a solution where we first solve one equation for one velocity direction and then use the result to solve for the other direction.\n",
    "\n",
    "We start importing the required libraries and setting some governing parameters of the problem. It is very similar to the Stokes cavity Newtonian example, but here we have also included $m$ value and adapt the relaxation values to ones that worked fine for a range of $0.5\\leqslant m\\leqslant 1.5$. Note that with different values of $m$, we represent $C$ as the viscosity, the number of sweeps required to converge may increase significantly. Consequently, we have incorporated a factor $\\epsilon$ to let the loop converge to a maximum residual, instead of the number of loops.\n",
    "\n",
    "Here we consider a 2D cavity with unit dimensions, no-slip condition at the walls, with a unit speed at the upper boundary. The mesh will consist of $50 \\times 50$ grid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from fipy import (\n",
    "    Grid2D,\n",
    "    CellVariable,\n",
    "    FaceVariable,\n",
    "    DiffusionTerm,\n",
    "    Viewer,\n",
    "    numerix\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "L = 1.0 # Cavity dimensions\n",
    "N = 50 # Number of divisions\n",
    "dL = L / N # Cell sizes\n",
    "viscosity = 1. # Consistency viscosity value. The value \"C\" from Ostwald fluid model.\n",
    "m = 1.5 # First value of the behavior constant will set the case as Newtonian\n",
    "eps = 0.025 # criteria to stop\n",
    "U = 1.0 # upper boundary fluid velocity\n",
    "#   0.4 for pressure and 0.02 for velocity worked fine for 0.5<=m<=1.5\n",
    "#   worked for m=0.25\n",
    "pressureRelaxation = 0.4\n",
    "velocityRelaxation = 0.02 \n",
    "Re = U ** (2 - m) * L ** m / viscosity # Added non-Newtonian Reynolds number calculation for reference\n",
    "# the number of sweeps when explicit called is 300, when running as a test is 5\n",
    "sweeps = 15000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then build the mesh using a 2D grid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mesh = Grid2D(nx=N, ny=N, dx=dL, dy=dL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then, we create the variables which keep the solution value and initialize it with null values. In this case we need variables for pressure, pressure correction, and two directions of the velocity field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pressure = CellVariable(mesh=mesh, name='pressure')\n",
    "pressureCorrection = CellVariable(mesh=mesh)\n",
    "xVelocity = CellVariable(mesh=mesh, name='X velocity')\n",
    "yVelocity = CellVariable(mesh=mesh, name='Y velocity')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For coupling purposes the velocity is also declared as a face variable. It will be used to apply the [SIMPLE](https://en.wikipedia.org/wiki/SIMPLE_algorithm) calculation for pressure correction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "velocity = FaceVariable(mesh=mesh, rank=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Compute the shear strain, which is used in the velocity equation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "velocity_variable = CellVariable(mesh=mesh, name='vel_var',rank=1)\n",
    "\n",
    "# need this to get through the first step without error\n",
    "velocity_variable[:] = 1e-6 * np.random.random(velocity_variable.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def trans2x2(var):\n",
    "    # Transpose for  2 x 2 variable\n",
    "    return [[1, 0], [0, 1]] * var + [[0, 1], [0, 0]] * var[1, 0] + [[0, 0], [1, 0]] * var[0, 1]\n",
    "\n",
    "def mag2x2(var):\n",
    "    # Magnitude for 2 x 2 variable\n",
    "    return numerix.sqrt((var**2).sum(0).sum(0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "shear_strain = 0.5 * (velocity_variable.grad + trans2x2(velocity_variable.grad))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def xterm(mat):\n",
    "    return viscosity * np.array(mat) * mag2x2(shear_strain) ** (m-1)\n",
    "\n",
    "xTerm1 = xterm([[1, 0], [0, 1 / 2]])\n",
    "xTerm2 = xterm([[0, 1 / 2], [0, 0]])\n",
    "yTerm1 = xterm([[0, 0], [0, 1 / 2]])\n",
    "yTerm2 = xterm([[1 / 2, 0], [0, 1]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "xVelocityEq = DiffusionTerm(xTerm1,var=xVelocity)+DiffusionTerm(xTerm2,var=yVelocity)-pressure.grad.dot([1., 0.])\n",
    "yVelocityEq = DiffusionTerm(yTerm1,var=xVelocity)+DiffusionTerm(yTerm2,var=yVelocity)-pressure.grad.dot([0., 1.])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need the pressure correction equation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "ap = CellVariable(mesh=mesh, value=1.)\n",
    "coeff = 1. / ap.arithmeticFaceValue * mesh._faceAreas * mesh._cellDistances\n",
    "pressureCorrectionEq = DiffusionTerm(coeff=coeff) - velocity.divergence"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This method also incorporates the Rhie-Chow interpolation correction to soften the numerical oscillations. For the SIMPLE method we linearize the equation and use the linear coefficients, and we can use the same approach, even though we now have a non-Newtonian fluid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fipy.variables.faceGradVariable import _FaceGradVariable\n",
    "volume = CellVariable(mesh=mesh, value=mesh.cellVolumes, name='Volume')\n",
    "contrvolume = volume.arithmeticFaceValue"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the boundary conditions to no slip and uniform velocity in the upper boundary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "xVelocity.constrain(0., mesh.facesRight | mesh.facesLeft | mesh.facesBottom)\n",
    "xVelocity.constrain(U, mesh.facesTop)\n",
    "yVelocity.constrain(0., mesh.exteriorFaces)\n",
    "X, Y = mesh.faceCenters\n",
    "pressureCorrection.constrain(0., mesh.facesLeft & (Y < dL))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the viewers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = (10,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-17T12:46:10.040205Z",
     "start_time": "2020-08-17T12:46:09.565259Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/guyer/Documents/research/FiPy/fipy/worktrees/issue132-Need_standard_methods_to_input_and_output_data_with_Gmsh-as_file/fipy/viewers/matplotlibViewer/matplotlibStreamViewer.py:164: RuntimeWarning: invalid value encountered in greater\n",
      "  mag = numerix.where(mag > datamax, numerix.nan, mag)\n",
      "/Users/guyer/Documents/research/FiPy/fipy/worktrees/issue132-Need_standard_methods_to_input_and_output_data_with_Gmsh-as_file/fipy/viewers/matplotlibViewer/matplotlibStreamViewer.py:165: RuntimeWarning: invalid value encountered in less\n",
      "  mag = numerix.where(mag < datamin, numerix.nan, mag)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "if __name__ == '__main__':\n",
    "    try:\n",
    "        from fipy.viewers.matplotlibViewer import MatplotlibStreamViewer\n",
    "        viewer = MatplotlibStreamViewer(vars=(velocity),\n",
    "                   xmin=0., xmax=1., ymin=0., ymax=1.)\n",
    "    except:\n",
    "        viewer = Viewer(vars=(velocity),\n",
    "                   xmin=0., xmax=1., ymin=0., ymax=1., colorbar=True,scale=5)        "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now solve the problem with sweep instead of solve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-08-17T13:15:17.223941Z",
     "start_time": "2020-08-17T12:46:13.458404Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<fipy.viewers.matplotlibViewer.matplotlibStreamViewer.MatplotlibStreamViewer at 0x7fe3306fef28>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Residuals are less than: 0.025\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 720x720 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for sweep in range(sweeps):\n",
    "# while min(xres,yres) > 0.01:\n",
    "    \n",
    "     ## solve the Stokes equations to get starred values\n",
    "     xVelocityEq.cacheMatrix()\n",
    "     \n",
    "     # solving for x and y velocities\n",
    "     \n",
    "     xres = xVelocityEq.sweep(var=xVelocity,\n",
    "                              underRelaxation=velocityRelaxation)\n",
    "  \n",
    "     xmat = xVelocityEq.matrix\n",
    "\n",
    "     yres = yVelocityEq.sweep(var=yVelocity,\n",
    "                              underRelaxation=velocityRelaxation)\n",
    "\n",
    "     # solving again to adjust the x and y velocity values ########################\n",
    "     xres = xVelocityEq.sweep(var=xVelocity,\n",
    "                              underRelaxation=velocityRelaxation)\n",
    "     xmat = xVelocityEq.matrix\n",
    "\n",
    "     yres = yVelocityEq.sweep(var=yVelocity,\n",
    "                              underRelaxation=velocityRelaxation)\n",
    "     ############################################################################\n",
    "     \n",
    "    \n",
    "     ## update the ap coefficient from the matrix diagonal\n",
    "     ap[:] = -numerix.asarray(xmat.takeDiagonal())\n",
    "\n",
    "     ## update the face velocities based on starred values with the\n",
    "     ## Rhie-Chow correction.\n",
    "     ## cell pressure gradient\n",
    "     presgrad = pressure.grad\n",
    "     ## face pressure gradient\n",
    "     facepresgrad = _FaceGradVariable(pressure)\n",
    "\n",
    "     velocity[0] = xVelocity.arithmeticFaceValue \\\n",
    "          + contrvolume / ap.arithmeticFaceValue \\\n",
    "          * (presgrad[0].arithmeticFaceValue-facepresgrad[0])\n",
    "     velocity[1] = yVelocity.arithmeticFaceValue \\\n",
    "          + contrvolume / ap.arithmeticFaceValue \\\n",
    "          * (presgrad[1].arithmeticFaceValue-facepresgrad[1])\n",
    "     velocity[..., mesh.exteriorFaces.value] = 0.\n",
    "     velocity[0, mesh.facesTop.value] = U\n",
    "\n",
    "     ## solve the pressure correction equation\n",
    "     pressureCorrectionEq.cacheRHSvector()\n",
    "     ## left bottom point must remain at pressure 0, so no correction\n",
    "     pres = pressureCorrectionEq.sweep(var=pressureCorrection)\n",
    "     rhs = pressureCorrectionEq.RHSvector\n",
    "\n",
    "     ## update the pressure using the corrected value\n",
    "     pressure.setValue(pressure + pressureRelaxation * pressureCorrection )\n",
    "     ## update the velocity using the corrected pressure\n",
    "     xVelocity.setValue(xVelocity - pressureCorrection.grad[0] \\\n",
    "                                  / ap * mesh.cellVolumes)\n",
    "     yVelocity.setValue(yVelocity - pressureCorrection.grad[1] \\\n",
    "                                  / ap * mesh.cellVolumes)\n",
    "     \n",
    "     velocity_variable.setValue([xVelocity,yVelocity])\n",
    "\n",
    "     if __name__ == '__main__':\n",
    "         if sweep % 50 == 0:\n",
    "             print('sweep:', sweep, ', x residual:', xres, \\\n",
    "                                    ', y residual',  yres, \\\n",
    "                                    ', p residual:', pres, \\\n",
    "                                    ', continuity:', max(abs(rhs)))\n",
    "             plt.figure(num=1, figsize=(10,10))\n",
    "     \n",
    "             viewer.plot()\n",
    "\n",
    "     # Criteria to stop\n",
    "     if (max(xres, yres) < eps):\n",
    "        print(\"Residuals are less than: {0}\".format(eps))\n",
    "        break        \n",
    "     else:\n",
    "        continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
